J. Dambre

发表

BRUNO: A Deep Recurrent Model for Exchangeable Data

Arthur Gretton, Jonas Degrave, Joni Dambre, 2018, NeurIPS.

A DIFFERENTIABLE PHYSICS ENGINE

Jonas Degrave, F. Wyffels, Michiel Hermans, 2017 .

CAPHE: Time-domain and Frequency-domain Modeling of Nonlinear Optical Components

P. Bienstman, J. Dambre, T. V. Vaerenbergh, 2012 .

Cascadable excitability in microrings.

B. Schrauwen, R. Kumar, P. Bienstman, 2012, Optics express.

Conditional BRUNO : A Deep Recurrent Process for Exchangeable Labelled Data

Y. Gal, A. Gretton, I. Korshunova, 2018 .

C L ] 2 5 Ju l 2 01 7 DReLUs : Dual Rectified Linear Units

Jonas Degrave, J. Dambre, Fréderic Godin, 2018 .

Exchangeable Models in Meta Reinforcement Learning

Jonas Degrave, A. Gretton, Ferenc Huszár, 2020 .

Simplified description of self-pulsation and excitability by thermal and free-carrier effects in semiconductor microcavities

Joni Dambre, Martin Fiers, Thomas Van Vaerenbergh, 2012 .

Analysis of Attention in Child–Robot Interaction Among Children Diagnosed with Cognitive Impairment

Luthffi Idzhar Ismail, F. A. Hanapiah, Tony Belpaeme, 2020, Int. J. Soc. Robotics.

Excitability in optically injected microdisk lasers with phase controlled excitatory and inhibitory response.

Joni Dambre, Martin Fiers, Peter Bienstman, 2013, Optics express.

Excitation transfer between optically injected microdisk lasers.

P. Bienstman, J. Dambre, T. Van Vaerenbergh, 2013, Optics express.

Towards integrated optical spiking neural networks: Delaying spikes on chip

Joni Dambre, Martin Fiers, Peter Bienstman, 2013, 2013 Sixth "Rio De La Plata" Workshop on Laser Dynamics and Nonlinear Photonics.

Simulation of nonlinear optical resonator circuits

P. Bienstman, J. Dambre, T. Van Vaerenbergh, 2014, Numerical Simulation of Optoelectronic Devices, 2014.

A CycleGAN for style transfer between drum & bass subgenres

Len Vande Veire, T. D. Bie, J. Dambre, 2019 .

Automated diagnosis of temporal lobe epilepsy in the absence of interictal spikes

Eugen Trinka, Joni Dambre, Pieter van Mierlo, 2017, NeuroImage: Clinical.

Design of a bio-inspired compliant quadruped robot for research on closed-loop locomotion control

Francis wyffels, Joni Dambre, Alexander Vandesompele, 2019 .

Lumped Circuit Heat Model of Photonic Crystal Membrane Nanocavities

P. Bienstman, J. Dambre, T. Van Vaerenbergh, 2013, IEEE Journal of Quantum Electronics.

Towards safe and efficient preoperative planning of transcatheter mitral valve interventions.

J. Dambre, M. De Beule, P. Mortier, 2019, Morphologie : bulletin de l'Association des anatomistes.

Experimental Demonstration of Nonlinear fibre Distortion Compensation with Integrated Photonic Reservoir Computing

P. Bienstman, J. Dambre, S. Sackesyn, 2021, 2021 European Conference on Optical Communication (ECOC).

Integrated Dielectric Scatterers for Speeding up Classification of Cell Diffraction Patterns

P. Bienstman, J. Dambre, A. Lugnan, 2018, 2018 20th International Conference on Transparent Optical Networks (ICTON).

Neuromorphic computing based on silicon photonics

P. Bienstman, J. Dambre, A. Katumba, 2018 .

Self-pulsation and excitability mechanism in silicon-on-insulator microrings

B. Schrauwen, P. Bienstman, J. Dambre, 2012, 2012 Asia Communications and Photonics Conference (ACP).

with photonic reservoir systems

J. Dambre, 2019 .

CAPHE: a circuit-level time-domain and frequency-domain modeling tool for nonlinear optical components

Benjamin Schrauwen, Pieter Dumon, Joni Dambre, 2011 .

Dendritic Computation in a Point Neuron Model

Joni Dambre, Francis Wyffels, Alexander Vandesompele, 2020, ICANN.

Photonic Reservoir Computing

Andrew Katumba, Peter Bienstman, Joni Dambre, 2019 .

Characterization of cascadable excitability in a silicon-on-insulator microring

Geert Morthier, Benjamin Schrauwen, Rajesh Kumar, 2012 .

Photonic reservoir computing as a new paradigm for optical information processing

Benjamin Schrauwen, David Verstraeten, Joni Dambre, 2010 .

Sign Language Translation: Ongoing Development, Challenges and Innovations in the SignON Project

Mathieu De Coster, J. Dambre, J. Blat, 2022, EAMT.

The Eigth International Workshop on System-Level Interconnect Prediction (SLIP 2006), Munich, Germany, March 4-5, 2006, Proceedings

Joni Dambre, Michael D. Hutton, J. Dambre, 2006, International Workshop on System-Level Interconnect Prediction.

Optoelectronic Reservoir Computing

Benjamin Schrauwen, Yvan Paquot, Joni Dambre, 2011, Scientific Reports.

Information processing using a single dynamical node as complex system

L. Appeltant, G. Van der Sande, J. Danckaert, 2011, Nature communications.

Time-domain and frequency-domain modeling of nonlinear optical components at the circuit-level using a node-based approach

Benjamin Schrauwen, Dries Vande Ginste, Joni Dambre, 2012 .

Experimental demonstration of reservoir computing on a silicon photonics chip

Geert Morthier, Benjamin Schrauwen, David Verstraeten, 2014, Nature Communications.

Optimized Parameter Search for Large Datasets of the Regularization Parameter and Feature Selection for Ridge Regression

Benjamin Schrauwen, David Verstraeten, Joni Dambre, 2013, Neural Processing Letters.

Analysis of Attention in Child–Robot Interaction Among Children Diagnosed with Cognitive Impairment

F. A. Hanapiah, Tony Belpaeme, F. Wyffels, 2020, International Journal of Social Robotics.

Leveraging Robotics Research for Children with Autism: A Review

Joni Dambre, Francis Wyffels, Luthffi Idzhar Ismail, 2018, International Journal of Social Robotics.

Leveraging Robotics Research for Children with Autism: A Review

F. Wyffels, J. Dambre, T. Verhoeven, 2018, International Journal of Social Robotics.

Rotation-invariant convolutional neural networks for galaxy morphology prediction pdf

Sander Dieleman, Joni Dambre, Kyle W. Willett, 2015, ArXiv.

Fast Face-Swap Using Convolutional Neural Networks

Lucas Theis, Joni Dambre, Wenzhe Shi, 2016, 2017 IEEE International Conference on Computer Vision (ICCV).

Integrated dielectric scatterers for fast optical classification of biological cells

Joni Dambre, Peter Bienstman, Alessio Lugnan, 2018, Photonics Europe.

Improving the Classification Accuracy in Label-Free Flow Cytometry Using Event-Based Vision and Simple Logistic Regression

C. Posch, P. Bienstman, J. Dambre, 2023, IEEE Journal of Selected Topics in Quantum Electronics.

Deep Dynamic Neural Networks for Multimodal Gesture Segmentation and Recognition

Ling Shao, Jean-Marc Odobez, Di Wu, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Conditional BRUNO: a neural process for exchangeable labelled data

Arthur Gretton, Joni Dambre, Yarin Gal, 2020, ESANN.

Machine learning issues and opportunities in ultrafast particle classification for label-free microflow cytometry

Joni Dambre, Peter Bienstman, Alessio Lugnan, 2020, Scientific Reports.

Photonic neuromorphic information processing and reservoir computing

A. Lugnan, A. Katumba, F. Laporte, 2020 .

Modeling Electronic Response Properties with an Explicit-Electron Machine Learning Potential.

J. Dambre, T. Verstraelen, Maarten Cools-Ceuppens, 2021, Journal of chemical theory and computation.

Optoelectronic Systems Trained With Backpropagation Through Time

Michiel Hermans, Joni Dambre, Peter Bienstman, 2015, IEEE Transactions on Neural Networks and Learning Systems.

A DIFFERENTIABLE PHYSICS ENGINE FOR DEEP LEARNING IN ROBOTICS

Jonas Degrave, Michiel Hermans, Joni Dambre, 2016, Front. Neurorobot..

Trainable hardware for dynamical computing using error backpropagation through physical media

Joni Dambre, Peter Bienstman, Michael Burm, 2014, Nature Communications.

Photonic reservoir computing for nonlinear equalization of 64-QAM signals with a Kramers–Kronig receiver

P. Bienstman, J. Dambre, S. Sackesyn, 2022, 2022 European Conference on Optical Communication (ECOC).

Highly parallel simulation and optimization of photonic circuits in time and frequency domain based on the deep-learning framework PyTorch

P. Bienstman, J. Dambre, F. Laporte, 2019, Scientific Reports.

Parallel Reservoir Computing Using Optical Amplifiers

Benjamin Schrauwen, David Verstraeten, Joni Dambre, 2011, IEEE Transactions on Neural Networks.

Experimental realization of integrated photonic reservoir computing for nonlinear fiber distortion compensation.

P. Bienstman, J. Dambre, S. Sackesyn, 2021, Optics express.

A Neuromorphic Silicon Photonics Nonlinear Equalizer For Optical Communications With Intensity Modulation and Direct Detection

Xin Yin, Andrew Katumba, Joni Dambre, 2019, Journal of Lightwave Technology.

An enhanced architecture for silicon photonic reservoir computing

Joni Dambre, Peter Bienstman, Stijn Sackesyn, 2018 .

Improving Time Series Recognition and Prediction With Networks and Ensembles of Passive Photonic Reservoirs

Andrew Katumba, Joni Dambre, Peter Bienstman, 2020, IEEE Journal of Selected Topics in Quantum Electronics.

Comparing different nonlinearities in readout systems for optical neuromorphic computing networks

P. Bienstman, J. Dambre, J. Lambrecht, 2021, Scientific Reports.

A training algorithm for networks of high-variability reservoirs

Joni Dambre, Peter Bienstman, Matthias Freiberger, 2020, Scientific Reports.

Towards Deep Physical Reservoir Computing Through Automatic Task Decomposition And Mapping pdf

Peter Bienstman, Joni Dambre, Matthias Freiberger, 2019, ArXiv.

WE1.2 - Photontorch: Simulation and Optimization of Large Photonic Circuits Using the Deep Learning Framework PyTorch

Joni Dambre, Peter Bienstman, Floris Laporte, 2019, 2019 IEEE Photonics Society Summer Topical Meeting Series (SUM).

Towards Improved Design and Evaluation of Epileptic Seizure Predictors

Benjamin H. Brinkmann, Jonas Degrave, Joni Dambre, 2018, IEEE Transactions on Biomedical Engineering.

Information Processing Capacity of Dynamical Systems

Benjamin Schrauwen, David Verstraeten, Joni Dambre, 2012, Scientific Reports.

Stance Control Inspired by Cerebellum Stabilizes Reflex-Based Locomotion on HyQ Robot

Francis wyffels, Claudio Semini, Joni Dambre, 2020, 2020 IEEE International Conference on Robotics and Automation (ICRA).

Combining Evolutionary and Adaptive Control Strategies for Quadruped Robotic Locomotion

Marie Claire Capolei, Silvia Tolu, Cecilia Laschi, 2019, Front. Neurorobot..

Online unsupervised terrain classification for a compliant tensegrity robot using a mixture of echo state networks

Joni Dambre, Ken Caluwaerts, Jeroen Burms, 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA).

Transfer learning of gaits on a quadrupedal robot

Jonas Degrave, Joni Dambre, Francis Wyffels, 2015, Adapt. Behav..

Automated Design of Complex Dynamic Systems

Benjamin Schrauwen, Joni Dambre, Peter Bienstman, 2014, PloS one.

Predicting reconfigurable interconnect performance in distributed shared-memory systems

Hugo Thienpont, Jan M. Van Campenhout, Dirk Stroobandt, 2007, Integr..

Exponential First Passage Time Approximations of Neuron Model with Conductance-Based Dynamics

F. Wyffels, J. Dambre, G. Urbain, 2018 .

Anchor Pruning for Object Detection

J. Dambre, M. Freiberger, Maxim Bonnaerens, 2021, Comput. Vis. Image Underst..

Beyond Temporal Pooling: Recurrence and Temporal Convolutions for Gesture Recognition in Video

Sander Dieleman, Aäron van den Oord, Mieke Van Herreweghe, 2015, International Journal of Computer Vision.

Sign Language Recognition with Transformer Networks

Mieke Van Herreweghe, Joni Dambre, Mathieu De Coster, 2020, LREC.

Dual Rectified Linear Units (DReLUs): A replacement for tanh activation functions in Quasi-Recurrent Neural Networks

Wesley De Neve, Jonas Degrave, Joni Dambre, 2018, Pattern Recognit. Lett..

Isolated Sign Recognition from RGB Video using Pose Flow and Self-Attention

Mieke Van Herreweghe, Joni Dambre, Mathieu De Coster, 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Frozen Pretrained Transformers for Neural Sign Language Translation

Mieke Van Herreweghe, Joni Dambre, Mathieu De Coster, 2021, MTSUMMIT.

Systematic Simulation-Based Predictive Synthesis of Integrated Optical Interconnect

Ian O'Connor, Frédéric Gaffiot, Jan M. Van Campenhout, 2007, IEEE Transactions on Very Large Scale Integration (VLSI) Systems.

Integrated pillar scatterers for speeding up classification of cell holograms.

Joni Dambre, Peter Bienstman, Alessio Lugnan, 2017, Optics express.

All-Optical Reservoir Computing on a Photonic Chip Using Silicon-Based Ring Resonators

Damien Rontani, Andrew Katumba, Joni Dambre, 2018, IEEE Journal of Selected Topics in Quantum Electronics.

Memory versus non-linearity in reservoirs

Benjamin Schrauwen, David Verstraeten, Joni Dambre, 2010, The 2010 International Joint Conference on Neural Networks (IJCNN).

Information Processing Capacity of

Benjamin Schrauwen, David Verstraeten, Joni Dambre, 2012 .

Design of a reconfigurable optical interconnect for large-scale multiprocessor networks

J. Dambre, H. Thienpont, J. Van Campenhout, 2008, SPIE Photonics Europe.

Improving zero-training brain-computer interfaces by mixing model estimators

T Verhoeven, D Hübner, M Tangermann, 2017, Journal of neural engineering.

Using Digital Masks to Enhance the Bandwidth Tolerance and Improve the Performance of On-Chip Reservoir Computing Systems

Joni Dambre, Bendix Schneider, Peter Bienstman, 2016, IEEE Transactions on Neural Networks and Learning Systems.

Memristor Models for Machine Learning

Benjamin Schrauwen, Michiel Hermans, Joni Dambre, 2014, Neural Computation.

Neuromorphic Computing Based on Silicon Photonics and Reservoir Computing

Andrew Katumba, Joni Dambre, Peter Bienstman, 2018, IEEE Journal of Selected Topics in Quantum Electronics.

Machine translation from signed to spoken languages: state of the art and challenges

Mathieu De Coster, J. Dambre, D. Shterionov, 2022, Universal Access in the Information Society.

DReLUs: Dual Rectified Linear Units pdf

Wesley De Neve, Jonas Degrave, Joni Dambre, 2017, ArXiv.

Improving Language Modeling using Densely Connected Recurrent Neural Networks

Wesley De Neve, Joni Dambre, Fréderic Godin, 2017, Rep4NLP@ACL.

Gesture and Sign Language Recognition with Temporal Residual Networks

Mieke Van Herreweghe, Joni Dambre, Lionel Pigou, 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).

Populations of spiking neurons for reservoir computing: Closed loop control of a compliant quadruped

Francis wyffels, Joni Dambre, Alexander Vandesompele, 2019, Cognitive Systems Research.

Low-Loss Photonic Reservoir Computing with Multimode Photonic Integrated Circuits

Sarah Uvin, Andrew Katumba, Joni Dambre, 2018, Scientific Reports.

Nanophotonic Reservoir Computing With Photonic Crystal Cavities to Generate Periodic Patterns

Benjamin Schrauwen, David Verstraeten, Joni Dambre, 2014, IEEE Transactions on Neural Networks and Learning Systems.

Synthesising Liberal Normative Systems

M. C. Soriano, M. Wooldridge, Ingo Fischer, 2014, AAMAS 2015.

A Generative Deep Recurrent Model for Exchangeable Data

Arthur Gretton, Jonas Degrave, Joni Dambre, 2018 .

Reservoir computing using a delayed feedback system: towards photonic implementations

Benjamin Schrauwen, Miguel C. Soriano, Lennert Appeltant, 2011 .

Neural network for blood cell classification in a holographic microscopy system

J. Dambre, P. Bienstman, R. Stahl, 2015, 2015 17th International Conference on Transparent Optical Networks (ICTON).

Morphological Properties of Mass–Spring Networks for Optimal Locomotion Learning

Jonas Degrave, Joni Dambre, Francis Wyffels, 2017, Front. Neurorobot..

Explaining Character-Aware Neural Networks for Word-Level Prediction: Do They Discover Linguistic Rules? pdf

Wesley De Neve, Thomas Demeester, Kris Demuynck, 2018, EMNLP.

Reward-Modulated Hebbian Plasticity as Leverage for Partially Embodied Control in Compliant Robotics

Joni Dambre, Ken Caluwaerts, Jeroen Burms, 2015, Front. Neurorobot..

Automatic Detection of the Aortic Annular Plane and Coronary Ostia from Multidetector Computed Tomography

Peter Mortier, Joni Dambre, Matthieu De Beule, 2020, Journal of interventional cardiology.

Neuromorphic information processing using silicon photonics

Andrew Katumba, Peter Bienstman, Joni Dambre, 2019, Active Photonic Platforms XI.

Training Passive Photonic Reservoirs With Integrated Optical Readout

Andrew Katumba, Joni Dambre, Peter Bienstman, 2018, IEEE Transactions on Neural Networks and Learning Systems.

Silicon Photonics Neuromorphic Computing and its Application to Telecommunications (Invited)

Xin Yin, Andrew Katumba, Joni Dambre, 2018, 2018 European Conference on Optical Communication (ECOC).

Photonic Resevoir Computing: A Brain-inspired Approach for Information Processing

Andrew Katumba, Joni Dambre, Peter Bienstman, 2018, 2018 Optical Fiber Communications Conference and Exposition (OFC).

Silicon photonics for neuromorphic information processing

Andrew Katumba, Joni Dambre, Peter Bienstman, 2018, OPTO.

A Multiple-Input Strategy to Efficient Integrated Photonic Reservoir Computing

Andrew Katumba, Joni Dambre, Peter Bienstman, 2017, Cognitive Computation.

Developing an embodied gait on a compliant quadrupedal robot

Jonas Degrave, Joni Dambre, Francis Wyffels, 2015, 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).

Recent advances in optical Reservoir Computing

Benjamin Schrauwen, Yvan Paquot, Joni Dambre, 2013, 2013 IEEE International Symposium on Circuits and Systems (ISCAS2013).

Computing using delayed feedback systems: towards photonics

L. Appeltant, M. C. Soriano, G. Van der Sande, 2012, Photonics Europe.

Reservoir Computing with Nonlinear Micro-Resonators on a Silicon Photonics Chip

D. Rontani, M. Sciamanna, P. Bienstman, 2017 .

Reservoir computing using a delayed feedback system : towards photonics

M. C. Soriano, B. Schrauwen, S. Massar, 2011 .

Towards the extraction of robust sign embeddings for low resource sign language recognition

Mathieu De Coster, J. Dambre, Anthony Ventresque, 2023, arXiv.org.

Wavelength dimension in waveguide-based photonic reservoir computing.

P. Bienstman, J. Dambre, Chonghuai Ma, 2022, Optics express.

Photonic Reservoir Computing for Wavelength Multiplexed Nonlinear Fiber Distortion Mitigation

P. Bienstman, J. Dambre, S. Masaad, 2023, 2023 IEEE Silicon Photonics Conference (SiPhotonics).

On-Chip Passive Photonic Reservoir Computing with Integrated Optical Readout

Andrew Katumba, Joni Dambre, Peter Bienstman, 2017, 2017 IEEE International Conference on Rebooting Computing (ICRC).

Sign classification in sign language Corpora with deep neural networks

Mieke Van Herreweghe, Joni Dambre, Lionel Pigou, 2016, LREC 2016.

Leveraging Frozen Pretrained Written Language Models for Neural Sign Language Translation

Mathieu De Coster, J. Dambre, 2022, Inf..

Optical information processing: Advances in nanophotonic reservoir computing

J. Dambre, B. Schrauwen, P. Bienstman, 2012, 2012 14th International Conference on Transparent Optical Networks (ICTON).

Towards a symbiotic brain–computer interface: exploring the application–decoder interaction

T Verhoeven, J Dambre, P Buteneers, 2015, Journal of neural engineering.

Simulating self-learning in photorefractive optical reservoir computers

P. Bienstman, J. Dambre, Floris Laporte, 2021, Scientific Reports.

Photorefractive crystals as brain-inspired photonic reservoir computing systems

P. Bienstman, J. Dambre, Floris Laporte, 2016 .

Experimental demonstration of reservoir computing on a silicon photonics chip

B. Schrauwen, D. Verstraeten, P. Bienstman, 2014, Nature Communications.

Modeling and Integration of Highly Parallel Optical Interconnect in Electronic Systems

M De Wilde, J. Dambre, M. Wilde, 2007 .

Integrated optical interconnect for on-chip data transport

J. Dambre, D. Navarro, F. Mieyeville, 2006, 2006 IEEE North-East Workshop on Circuits and Systems.

Towards reconfigurable optical networks on chip

Ian O'Connor, Fabien Mieyeville, Frédéric Gaffiot, 2005, ReCoSoC.

Experimental results on nonlinear distortion compensation using photonic reservoir computing with a single set of weights for different wavelengths

J. Dambre, Stijn Sackesyn, Emmanuel Gooskens, 2023, Scientific reports.

Effect of compliance on morphological control of dynamic locomotion with HyQ

Claudio Semini, Joni Dambre, Francis Wyffels, 2021, Autonomous Robots.

Classification of aortic valve morphology using a three-dimensional convolutional neural network

Matthieu De Beule, Joni Dambre, Patricio Astudillo, 2019 .

Artificial Intelligence at Light Speed: towards Opto-Electronic Reservoir Computing

Benjamin Schrauwen, Yvan Paquot, Joni Dambre, 2010 .

A Bio-Inspired Model for Audio Processing

J. Dambre, Tanguy Cazalets, 2023, 2023 RIVF International Conference on Computing and Communication Technologies (RIVF).

An homeostatic activity-dependent structural plasticity algorithm for richer input combination

J. Dambre, Tanguy Cazalets, 2023, 2023 International Joint Conference on Neural Networks (IJCNN).

Selective optical broadcast component for reconfigurable multiprocessor interconnects

J. Dambre, H. Thienpont, L. Desmet, 2006, IEEE Journal of Selected Topics in Quantum Electronics.

Selective optical broadcasting in reconfigurable multiprocessor interconnects

Christof Debaes, Hugo Thienpont, Joni Dambre, 2006, SPIE Photonics Europe.

Selective Optical Broadcast Component for

Hugo Thienpont, Joni Dambre, Wim Heirman, 2006 .